Keyphrases
- riemannian manifolds
- geodesic distance
- euclidean space
- reproducing kernel hilbert space
- riemannian metric
- gaussian processes
- shortest path
- geometric structure
- regression model
- distance transform
- vector space
- manifold learning
- euclidean distance
- mean shift
- maximum likelihood
- multi class classification
- model selection
- covariance matrices
- distance metric
- loss function
- shape analysis
- kernel methods
- search space
- kernel function
- kernel matrix
- metric space
- density estimation
- learning theory
- support vector
- learning tasks
- low dimensional
- feature space